A penalty scheme and policy iteration for nonlocal HJB variational inequalities with monotone nonlinearities
نویسندگان
چکیده
We propose a class of numerical schemes for nonlocal HJB variational inequalities (HJBVIs) with monotone nonlinearities arising from mixed optimal stopping and control processes infinite activity jumps, where the objective is specified by recursive preference. The solution free boundary HJBVI are constructed sequence penalized equations, which penalization error estimated. equation then discretized semi-implicit approximations. present novel analysis technique well-posedness discrete equation, demonstrate convergence scheme, subsequently gives constructive proof existence to inequality. further an efficient iterative algorithm local superlinear solving equation. Numerical experiments presented investment problem under ambiguity two-dimensional consumption-portfolio allocation problem.
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ژورنال
عنوان ژورنال: Computers & mathematics with applications
سال: 2021
ISSN: ['0898-1221', '1873-7668']
DOI: https://doi.org/10.1016/j.camwa.2021.04.011